An Entropy based Model for Examination of Social Media Data Mining for Marketing Intelligence
N. Naveen1, S. Suresh2, P. Karunakar Reddy3
1Dr. N. Naveen, Assistant Professor, Department of CSE, India.
2Dr. S. Suresh, Associate Professor, Department of CSE, Pragati Engineering College, India.
3Dr. P. Karunakar Reddy, Assistant Professor, Department of CSE, Ashoka Institute of Engineering and Technology, India.
Manuscript received on 21 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 817-820 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B11490982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1149.0982S1019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social Websites Provides Platform for to Deliver Customer Opinion in the form of comments. It is also Highly Impossible to get the huge comments throughout the World; in this Paper we proposed the Concept of Customer Review and Ranking of the Product in the Marketing for this us used an Algorithm of re-ranking technique. Entropy Based Model supports for review and also used for reviews along with ranking Our algorithm Gives Better results comparing with the Other Existed Algorithms .The Output results gives the Better Marketing Intelligence Strategy that will supports customer to select good in the Marketing. And also supports for Blocking Website in the Marketing Who are not providing customer not satisfied Product in the Market.
Keywords: Social Media, Data Mining, Ranking, Search Strategy.
Scope of the Article: Data Mining